Aws Data Engineer | 6 To 12 Years | Pan India @ Capgemini Technology

Job Description

Job Description Experience in planning and migrating big data system to cloud AWS Experience in Spark,Scala or Pyspark Good to have Data warehouse experience. Proficiency with Python Solid knowledge of Spark/Scala and AWS Glue/Glue Studio Understanding of Storage technologies and formats (S3, Redshift) Good knowledge of SQL and Querying technologies such as Athena or Hive Good understanding of the agile software development process. Excellent analytical thinking, problem solving, good communication and collaboration skills. Proficiency in English Primary Skills AWS Glue, redshift,Lambda Spark, Scala, pySpark, Python Secondary Skills Excellent verbal and written communication and interpersonal skills Ability to work independently and within a team environment

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Mainframe
Functional Area: Not Applicable
Role/Responsibilies: Aws Data Engineer | 6 To 12 Years | Pan India

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Keyskills:   Spark Scala Python AWS Glue Redshift Lambda pySpark